Lead Software Engineer - Java Python Backend

JPMorganChase; Bengaluru; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

JPMorganChase in Bengaluru seeks a Lead Software Engineer to drive secure, scalable technology products within the CTO LOB. You will contribute as a core technical member, delivering high-quality code and guiding AI-assisted engineering practices across teams.

Responsibilities include designing robust solutions, reviewing code, and ensuring secure, resilient deployments while leveraging enterprise tools and cloud-native approaches in a fast-paced financial services environment.

Qualifications

• Formal software engineering training with extensive practical experience.
• Hands-on system design, application development, testing, and stability.
• Experience with AI-assisted development tools and secure coding practices.
• Strong knowledge of SDLC tools and enterprise CI/CD pipelines.

Responsibilities

• Executes creative software solutions and complex problem solving.
• Develops secure, high-quality production code and reviews peers' code.
• Leads adoption of AI-assisted engineering practices to improve quality and speed.
• Applies SDLC toolchains and automation to increase value of applications.
• Identifies opportunities to improve operational stability and automate remediation.
• Leads evaluation sessions with vendors and teams on architectures and designs.

Skills

Java

Python

AI-assisted tooling

Agile methodologies

CI/CD

Security

Cloud native

Education

Formal training in software engineering

Tools

AWS

SDLC tools

Job description

Job Description:

We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.

As a Lead Software Engineer at JPMorganChase within the CTO LOB you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture

Required qualifications, capabilities, and skills

• A. Formal training or certification on software engineering concepts and 10+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in Java/Python programming language(s)
• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• In-depth knowledge of the financial services industry and their IT systems
• Practical cloud native experience

Preferred qualifications, capabilities, and skills

• AWS hands on experience
• Platform engineering experience

Requirements: